54 cloud-computing-"https:"-"https:"-"https:"-"https:"-"https:" positions at NEW YORK UNIVERSITY ABU DHABI
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primarily research on Reinforcement Learning, and/or Optimal Control, and/or Model Predictive Control. RISC invites qualified applicants in the areas of electrical, computer, or mechanical engineering, or
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Description The Center for Genomics and Systems Biology (CGSB) at New York University Abu Dhabi (NYUAD) is announcing the opening of an Artist-in-Residence program and is welcoming applications from
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of interest include: structural 3D printing (metals, concrete, and composites) computational mechanics and structural topology optimization vision-based structural health monitoring autonomous and drone-based
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Description We are seeking Post-Doctoral Associates who are passionate about Data Science, with an emphasis in Computational Social Science, with a starting date of September 1, 2026. Some of the
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Description We are seeking researchers who are passionate about Data Science, with an emphasis in Computational Social Science, with a starting date of September 1, 2026. Some of the possible
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Post-Doctoral Associate in Sand Hazards and Opportunities for Resilience, Energy, and Sustainability
management. Develop and validate computational models for monitoring and predicting infrastructure performance. Collaborate with faculty and researchers across SHORES. Disseminate research findings through
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is a degree-granting research university with a fully integrated liberal arts and science undergraduate program in the Arts, Sciences, Social Sciences, Humanities, and Engineering. NYU Abu Dhabi, NYU
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Description We are seeking researchers who are passionate about Data Science, with an emphasis in Computational Social Science, with a starting date of September 1, 2026. Some of the possible
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Algorithms. The candidate is expected to conduct research in computer science focusing on the combinatorial aspects of quantum experiments and quantum algorithms for computational geometry problems. Prior
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candidate will be involved in cutting-edge research and development in 3D computer vision and machine learning for the digital preservation of cultural heritage. The project focuses on state-of-the-art